Phase I/II study of immunization with MHC class I matched allogeneic human prostatic carcinoma cells engineered to secrete interleukin-2 and interferon-gamma
Abstract
RATIONALE: Interleukin-2 may stimulate a person's white blood cells including natural killer cells to kill prostate cancer cells. Interferon gamma may interfere with the growth of the cancer cells. Combining interferon gamma with interleukin-2 may be a more effective treatment for prostate cancer.
PURPOSE: Phase I/II trial to study the effectiveness of biological therapy using interleukin-2 and interferon gamma in treating patients with advanced prostate cancer.
Conditions: Prostate Cancer.
Enrollment: 25 participants.
How strong is the evidence?
Evidence Hub reads this as a clinical trial, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 25 participants or records.
Read the paper
Related studies
- Comparative effectiveness of GLP-1 receptor agonists on glycaemic control, body weight, and lipid profile for type 2 diabetes: systematic review and network meta-analysis
- Adverse effects of cyclooxygenase 2 inhibitors on renal and arrhythmia events: meta-analysis of randomized trials
- Benefits and harms of drug treatment for type 2 diabetes: systematic review and network meta-analysis of randomised controlled trials
- Comparative effectiveness and safety of statins as a class and of specific statins for primary prevention of cardiovascular disease: A systematic review, meta‐analysis, and network meta‐analysis of randomized trials with 94,283 participants
- Screen time increases overweight and obesity risk among adolescents: a systematic review and dose-response meta-analysis
- Exposure to WHO AWaRe antibiotics and isolation of multi-drug resistant bacteria: a systematic review and meta-analysis
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.